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2021

43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Gait and balance patterns related to Free-Walking and TUG tests in Parkinson’s Disease based on plantar pressure data

Vassilis D. Tsakanikas, Dimitrios G. Dimopoulos, Nikolaos S. Tachos, Chariklia Chatzaki, Vasileios Skaramagkas, Georgios Christodoulakis, Manolis Tsiknakis, Dimitrios I. Fotiadis

Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina

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Keywords

gait, balance, parkinson

Abstract

Continuous monitoring of patients with Parkinson’s Disease (PD) is critical for their effective management, as early detection of improvement or degradation signs play an important role on pharmaceutical and/or interventional plans. Within this work, a group of seven PD patients and a group of ten controls performed a set of exercises related to the evaluation of PD gait. Plantar pressure signals were collected and used to derive a set of analytics. Statistical tests and feature selection approaches revealed that the spatial distribution of the Center of Pressure during a static balance exercise is the most discriminative analytic and may be used for every-day monitoring of the patients. Results have revealed that out of the 28 features extracted from the collected signals, 10 were statistically significant (p < 0.05) and can be used to machine learning algorithms and/or similar approaches.

Moticon's Summary

This study was concerned with monitoring of disease progression in patients with Parkinson's disease. Continuous monitoring of disease status plays a crucial role in this context to for example administer medication or interventions. The specific aim here was to examine three different test protocols namely a 10m free walking test at various speeds, a timed up and go test and a static balance test in terms of their predictive value. Moticon sensor insoles were used to collect plantar pressure data during the tests. Results revealed that the static balance test and the stand up phase in the timed up and go test provided the most important metrics in terms of predicting disease status. Further, the results point at the most important metrics for assessing disease status.

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2021

43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Gait and balance patterns related to Free-Walking and TUG tests in Parkinson’s Disease based on plantar pressure data

Vassilis D. Tsakanikas, Dimitrios G. Dimopoulos, Nikolaos S. Tachos, Chariklia Chatzaki, Vasileios Skaramagkas, Georgios Christodoulakis, Manolis Tsiknakis, Dimitrios I. Fotiadis

Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina

Keywords

gait, balance, parkinson

Abstract

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